is hiring for the role of Trainee Data Engineer in India. This is an entry-level opportunity for freshers to work on data pipelines, ETL processes, and data infrastructure that support analytics and consulting work.
Job Overview
- Company: Milliman
- Position: Trainee Data Engineer
- Qualification: BE / B.Tech / BCA / MCA
- Experience: Freshers
- Location: India
- Job Type: Full-Time
- Domain: Data Engineering / ETL / Data Infrastructure
What This Role Is Really About
This role is focused on building and maintaining the systems that move and organize data, rather than just analyzing it.
You will work on:
- Data pipelines
- Data transformation processes
- Data storage and integration
Your responsibility is to ensure that data flows correctly from source systems to analytics platforms.
How Your Work Fits Into the System
In any data-driven organization, data engineers sit at the foundation.
Your work supports:
- Data analysts
- Data scientists
- Business teams
If the data pipeline is incorrect or inefficient, all downstream analysis is affected. So your role ensures data reliability and availability.
Core Responsibilities
- Build and maintain data pipelines
- Perform data extraction, transformation, and loading (ETL)
- Work with structured and unstructured data
- Ensure data quality and consistency
- Support data integration across systems
- Collaborate with analytics teams
What You’ll Actually Be Doing
Your day-to-day work typically involves:
- Pulling data from different sources
- Cleaning and transforming datasets
- Writing scripts to automate workflows
- Fixing issues in data pipelines
- Ensuring data is correctly stored and accessible
You are responsible for making data usable and reliable.
Working With Data Systems
You will work with:
- Databases
- Data warehouses
- ETL tools
The focus is on:
- Accuracy
- Efficiency
- Scalability
This is not about visualization—it is about building the backbone of data systems.
Technical Skills Expected
- Basic programming knowledge (Python preferred)
- Understanding of SQL and databases
- Knowledge of data structures and algorithms (basic level)
- Familiarity with ETL concepts
- Problem-solving and logical thinking
You should be comfortable:
- Working with data
- Writing scripts
- Debugging issues
Learning Curve in This Role
As a trainee, you will:
- Learn how real data systems are built
- Understand data workflows
- Gain hands-on experience with tools and processes
The role is designed to help you transition from theory to practical data engineering work.
Work Environment & Structure
Milliman operates in a consulting and analytics-driven environment, where:
- Data accuracy is critical
- Work is structured and process-oriented
- Teams collaborate closely
You may work on projects related to:
- Financial data
- Insurance data
- Business analytics
A Realistic Day in This Role
- Work on assigned data tasks
- Extract and clean data
- Write transformation logic
- Validate data accuracy
- Fix pipeline issues
- Collaborate with team members
Your day is focused on data handling and system maintenance.
What Makes This Role Different
You are not analyzing data for insights.
You are:
- Building systems that prepare data
- Ensuring data is correct and accessible
- Supporting analytics indirectly
This role is more technical and infrastructure-focused.
Who This Role Is Best For
- Someone interested in data engineering
- Someone who enjoys working with data systems
- Someone comfortable with coding and logic
- Someone who prefers backend/data roles over UI
Growth You Can Expect
- Move into Data Engineer roles
- Work on advanced data platforms
- Learn cloud-based data systems
- Transition into big data or platform engineering
Why This Role Is Valuable
- Strong foundation in data engineering
- Exposure to real data systems
- High demand career path
- Opportunity to work in analytics-driven projects
Long-Term Value of This Experience
Working at Milliman helps you:
- Understand how data flows in real systems
- Build technical skills in ETL and pipelines
- Gain experience in consulting-driven environments
This opens opportunities in:
- Data engineering roles
- Analytics platforms
- Big data ecosystems
How to Apply
Apply link below apply there
